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» Learning Gaussian Process Models from Uncertain Data
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OTM
2005
Springer
15 years 8 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
156
Voted
COOPIS
2002
IEEE
15 years 7 months ago
Discovering Emergent Virtual Work Processes in Collaborative Systems
The design of virtual workplaces that can support virtual work processes has traditionally been either ad-hoc, or has been influenced by the top-down approaches, such as ‘virtua...
Simeon J. Simoff, Robert P. Biuk-Aghai
157
Voted
WWW
2011
ACM
14 years 9 months ago
Towards semantic knowledge propagation from text corpus to web images
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
Guojun Qi, Charu C. Aggarwal, Thomas Huang
153
Voted
ACCV
2009
Springer
15 years 9 months ago
3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...
Yen-Lin Chen, Jinxiang Chai
SIGIR
2004
ACM
15 years 8 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu